code: def classifier_data():
      X, y = make_classification(
          1000, 20, n_informative=10, random_state=0
      )
      return X.astype(np.float32), y
  
file_path: skorch/skorch/tests/conftest.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.datasets import make_regression
  from sklearn.preprocessing import StandardScaler
  import torch
  from torch import nn
label_desc: Use image node_id 5 for calling a global function with example usage: classifier_data() and returns: X,  y